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project 2.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Project 2</title>
<style>
body {
box-sizing: border-box;
background-color: black;
margin: 0;
padding: 0;
font-family: Arial, Helvetica, sans-serif;
margin-top: 5%;
}
.main {
width: 1033px;
height: 80vh;
background-color: rgb(1, 1, 99);
background-image: url(Bhopal_City_Lakes.jpg);
background-size: cover;
background-position: center;
padding: 10px 8%;
position: relative;
margin: 0 5rex 0 1.65rex;
}
.heading {
font-size: 3.5rem;
font-weight: 600;
float: inline-start;
color: white;
margin-top: 5%;
}
.intro-para {
color: azure;
font-size: large;
margin-top: 15%;
margin-right: 18.5%;
/* font-family: Arial, Helvetica, sans-serif; */
font-weight: 500;
float: left;
margin-top: 2%;
}
.intro p{
letter-spacing: 1cap;
}
#bhopal_tragedy {
border-radius: 2px;
/* transform: rotate(10deg); */
/* transform: rotate(-10deg); */
width: 15%;
height: 15%;
display: inline;
justify-content: space-evenly;
}
.slide-2 {
color: white;
margin: 5%;
}
.slide-2 h3 {
font-size: 1.5rem;
font-weight: 600;
}
.slide-2 h3:hover {
opacity: 0;
transform: translateY(20px);
animation: slideIn 1s ease forwards;
}
.slide-2 hr {}
@keyframes slideIn {
to {
opacity: 1;
transform: translateY(0);
}
}
</style>
</head>
<body>
<div class="main">
<div class="intro">
<h1 class="heading">Project 2</h1>
<div class="intro-para" style="margin-top: 10%;">
<p>Current practices of performing road inspections
are time-consuming and labour-intensive. Road
surfaces degrade on a daily basis as a result of the
heavy traffic on them. This will not only impact the
driver’s comfort but will also impact economic
efficiency. To maintain roads as efficiently as
possible, municipalities perform regular
inspections.
</p>
<p>
</p>
</div>
<!-- <img id="bhopal_tragedy" style="margin-left: 95px; " src="bhopal_tragedy1.jpeg">
<img id="bhopal_tragedy" style="float: right;" src="bhopal_tragedy2.jpeg">
<img id="bhopal_tragedy" style="float:left; transform:rotate(2deg);" src="bhopal_tragedy3.jpeg">
<img id="bhopal_tragedy" style="margin-left: 150px; " src="bhopal_tragedy4.jpg"> -->
<!-- <hr style="width: 100%; box-sizing: border-box; margin-top: 5%; margin-bottom:0%; padding: 0%; color: rgb(196, 175, 175);"> -->
</div>
</div>
<div class="under">
<div class="slide-2">
<div class="requirement" style="position: relative; top: 100%; margin-top: 20px;">
<h3 style="margin-top: 0%;">Requirement of this
project
</h3>
<hr class="hr " />
<p>The aim of the project is to use machine learning
to study and analyze different types of road
defects and to automatically detect any road
abnormalities. We will design, build and test an
inspection system for this purpose.</p>
<p>
</p>
</div>
<div class="approach">
<h3>How we
approached it
</h3>
<hr class="hr " />
<p>The system is equipped with a camera to collect
video streams from different roads with and
without defects. Then, the captured data will be
analyzed using the Matlab machine learning
toolbox to train and test the network. Finally, the
system will provide recommended actions for the
municipality related to actions required to
fix/correct road defects. The approach is divided
into 4 main tasks: Data acquisition, Data
Training/Testing, and Dashboard Building and
Testing.
</p>
<p></p>
</div>
<div class="technology">
<h3>Technology and resources used</h3>
<hr class="hr " />
<p>Our road inspection system utilizes advanced
technology to automate the detection of road defects
and damages. Equipped with HD cameras, the system
captures live video streams from roads, allowing for
comprehensive data acquisition. The captured data is
then analyzed using the Matlab machine learning
toolbox, enabling the training and testing of a network
that can accurately categorize road flaws. By leveraging
machine learning algorithms and image processing
techniques, the system can detect various road defects,
including cracks, patching, rutting, and deformation. It
further enhances efficiency by providing recommended
actions for municipalities to address and correct the
identified road issues. Additionally, the system
incorporates a user-friendly dashboard and graphical
interface to visualize and report the detected road
defects in real-time. This project showcases the power
of technology in streamlining road inspections and
improving infrastructure maintenance practices.</p>
</div>
<div class="outcome">
<h3>What was the
positive outcome</h3>
<hr class="hr " />
<p>Our road inspection system will deliver
remarkable outcomes, bringing about positive
changes for infrastructure maintenance. By
harnessing cutting-edge technology, such as HD
cameras and machine learning algorithms, we
will automate the detection of road defects and
damages. This automation will significantly
reduce inspection time and effort, leading to
enhanced efficiency and resource allocation.
Through comprehensive data acquisition and
analysis, our system will accurately categorize
road flaws, providing municipalities with
actionable insights and recommended actions to
address and correct these issues promptly. The
real-time visualization capabilities offered by our
user-friendly dashboard will empower decisionmakers to prioritize and allocate resources
effectively. Ultimately, our road inspection system
will ensure safer and better-maintained roads,
contributing to improved transportation
infrastructure and the overall well-being of
communities.</p>
</div></div>
</div>
</div>
</div>
</body>
</html>